Assess whether published research is replication-ready by checking methods, materials, and provenance

Assess whether published research is replication-ready by checking methods, materials, and provenance targets a $3.6B = 120,000 research groups/labs globally × $30K ACV (institutional and lab subscriptions, publisher integrations, funder licenses) total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR for research software and scholarly publishing tooling (industry estimates aggregated from Grand View Research and market commentary, 2022-2025).

Key trends driving demand: Funders and top journals are mandating data and code availability — this increases demand for automated checks that verify compliance and reproducibility.; AI models can now extract methods, reagents, and code links from PDFs and figures at scale — enabling automated triage and scoring workflows.; Rising interest in research integrity and reproducibility metrics at institutional and funder levels is creating procurement budgets for tooling.; Growth in identifiers and structured metadata (RRIDs, DOIs, ORCIDs) makes cross-referencing materials and datasets programmatic and more reliable.; Publishers are looking to automate quality checks to reduce editorial workload and speed peer review, creating a direct buyer channel..